Abstract for dick_eccv00

European Conference on Computer Vision 2000

LAYER EXTRACTION WITH A BAYESIAN MODEL OF SHAPES

P. Torr, A. Dick, R. Cipolla

June 2000

This paper describes an automatic 3D surface modelling system that
extracts dense 3D surfaces from uncalibrated video sequences. In
order to extract this 3D model the scene is represented as a
collection of layers and a new method for layer extraction is
described. The new segmentation method differs from previous methods
in that it uses a specific prior model for layer shape. A
probabilistic hierarchical model of layer shape is constructed, which
assigns a density function to the shape and spatial relationships
between layers. This allows accurate and efficient algorithms to be
used when finding the best segmentation. Here this framework is
applied to architectural scenes, in which layers commonly correspond
to windows or doors and hence belong to a tightly constrained family
of shapes.

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